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Description
TUBO ENDOTRAQUEAL SIN GLOBO,DE CLORURO DE POLIVINILOTRANSPARENTE, GRADUADO, CONMARCA RADIOPACA, ESTERIL CAL26 FR.
IMSS product code
060.166.0293.03
Each circle represents one of the 6 purchases of TUBOS made by the IMSS between 2017 and 2019.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 447.3 MXN | - MXN | - | - | 18 de enero de 2019 |
| Delegación Chiapas Almacen Subdelegacional En Tuxtla Gutierrez, Chiapas | Chiapas | 1 | 3,066.9 MXN | - MXN | - | - | 18 de enero de 2019 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 341 MXN | 77.3 MXN | 29.3 % | 3.52 | 10 de enero de 2019 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 4,022.5 MXN | 1,121.4 MXN | 38.7 % | 51 | 18 de enero de 2019 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 123.6 MXN | 105.3 MXN | 574.4 % | 17.2 | 9 de noviembre de 2018 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 6,745.8 MXN | 842.2 MXN | 14.3 % | 137.8 | 12 de diciembre de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PROVEEDORA DE SUMINISTROS DEL SUR, S.A. DE C.V. | 2 | - MXN | - | - | 2019 - 2019 |
| COMERCIALIZADORA ARVIEN, S.A. DE C.V. | 1 | 1,121.4 MXN | 38.7 % | 51 | 2019 - 2019 |
| REDIMED, SA DE CV | 1 | 77.3 MXN | 29.3 % | 3.52 | 2019 - 2019 |
| REGA ESPECIALIDADES INTERNACIONALES, S.A. DE C.V. | 1 | 842.2 MXN | 14.3 % | 137.8 | 2017 - 2017 |
| SOPORTE HOSPITALARIO CENTRAL SA DE CV | 1 | 105.3 MXN | 574.4 % | 17.2 | 2018 - 2018 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.166.0293.03")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.166.0293.03')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.166.0293.03')